For data scientists, it is a must to prototype in multiple virtual environments which isolate different (and often very divergent) sets of Python packages. This can be achieved by linking one Jupyter installation with multiple Python environments. Use the command <code>which jupyter</code> to show the Jupyter location and <jupyter kernelspec list> to show available kernels, …
Category archives: coding
Robust Azure ETLs with Python
Microsoft Azure faces criticism for being poorly explained, but remains a popular cloud computing platform for many companies. How data engineers can build robust extract-load-transform processes on top of it using Python
?
Demystifying TestDom
Recruiters nowadays use online timed tests when screening developers. I recently looked at Python & Algorithms Hard questions at TestDome. While the timing and hints seem to push towards implementing tricks from scratch, for the quality in long term it is better to structure the problem and use established solutions (divide & conquer). The battery …